Site Reliability Engineer

Job Title

We are looking for engineers who solve operational problems by building software.

The Role

In this role, you will improve reliability, reduce toil, and enhance production systems by writing code, building automations, and leveraging modern AI-assisted development tools.

This is a hands-on engineering role—not a traditional support position. You'll use Node.js/Type Script, Python, and AI tools like Git Hub Copilot to design and deliver solutions that make systems more reliable and operations more scalable. Responsibilities will include:

• Build software solutions to improve reliability, reduce operational toil, and scale production systems—not just respond to issues.
• Develop production-quality code using Node.js / JavaScript / Type Script and Python/Power Shell, including testing and documentation.
• Leverage modern development tooling such as VS Code and AI-assisted tools (e.g., Git Hub Copilot) to accelerate delivery and problem-solving.
• Independently own well-scoped features, fixes, or improvements end-to-end—from design through deployment and operational validation.
• Participate in on-call rotations, respond to incidents, execute runbooks, and ensure clear communication and handoffs.
• Analyze incidents and recurring issues to identify patterns, reduce alert noise, and implement durable fixes.
• Implement and improve observability (logging, metrics, dashboards, alerts) for owned services.
• Build automations, scripts, and lightweight tools to eliminate repetitive manual work and improve operational efficiency.
• Identify and act on opportunities to improve system reliability, performance, and maintainability.
• Develop an understanding of how systems impact customer experience and business outcomes.

The Expertise and Skills You Bring

• ~2+ years of experience in SRE, software engineering, Dev Ops, or production engineering
• Strong hands-on coding skills in Node.js, JavaScript, Type Script, and Python for scripting and automation
• Experience building tools, APIs, and automations to solve engineering or operational problems
• Familiarity with AI-assisted development workflows (e.g., Git Hub Copilot, code generation tools) and interest in applying AI/LLMs to improve engineering productivity
• Foundational knowledge of monitoring, logging, and observability concepts, as well as distributed systems and API-based architectures
• Experience with SQL and data analysis for troubleshooting
• Exposure to cloud platforms (AWS or Azure), CI/CD pipelines, and modern development practices
• Basic understanding of incident management, problem management, and production support processes
• Self-starter mindset with the ability to proactively identify issues, analyze trends, and deliver creative, high-impact solutions
• Builder mentality with a natural inclination to solve operational problems through code and automation
• Modern engineering approach leveraging AI tools to increase speed, quality, and effectiveness
• Strong problem-solving skills with the ability to troubleshoot, analyze, and deliver practical solutions
• Proactive approach to identifying risks, inefficiencies, and improvement opportunities
• Curiosity and desire to continuously learn systems, tools, and reliability engineering practices
• Clear communicator who collaborates effectively across engineering and operations teams

Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Category Information Technology